Typical Scenarios
User Experience
Both passengers and drivers find it difficult to pick up orders during peak hours.
- By predicting order status in a certain area, this solution helps the platform to optimize the scheduling services, shortening the waiting time for passengers.
Service Operations
Coupons attract more users to the platform and efficient coupon issuing is required.
- This solution provides the platform with an AI-based coupon issuing service to gain more profit with fewer coupons. The innovative offline simulator of the scheduling algorithm can predict profits to avoid waste.
Cost Effectiveness
- Decoupled Storage and Compute for big data: This solution helps you build a smart data lake based on the open-source Hudi to support business intelligence (BI) and AI, reducing the costs by over 30%.
- Hybrid scheduling: Peak hours and unexpected factors, such as weather, can cause high pressure to the platform. Resources need to be reserved and planned ahead. Hybrid scheduling can ensure the platform to function stably during peak hours.
Solution Architectures
Description
This solution integrates the industry knowhow with Huawei Cloud's technical experience in AI, big data, Iaas, and PaaS to provide a suitable solution for mobility companies.
Solution Advantages
Success Stories
T3Go
T3Go built its lakehouse based on the open-source Hudi architecture with Huawei Cloud FusionInsight. This solution features decoupled storage and compute to support both BI and AI.
Cao Cao Mobility
Cao Cao Mobility developed a dual-camera security solution together with Huawei Cloud to integrate device management, algorithm upgrade, alarm reporting, and driver screening. Huawei Cloud's algorithm provides high accuracy and recall rate, helping Cao Cao drivers avoid car accidents.
UCAR Inc
UCAR, a leading auto mobility provider in China, cooperates with Huawei Cloud to reduce O&M risks and costs. By completing its digital transformation, the company achieved higher efficiency with lower costs.